Growth Marketing Glossary

FAQ Schema

F·A·Q sche·manoun

Your FAQ, made machine-legible — the rich results mostly retired in 2023, the machine readability more valuable since.

"@type": "FAQPage""Question" / "Answer"JSON-LD in the pagemachine-readable Q&ASERP rich results - now mostlygov/health only (Aug 2023)still feeds AI + assistantsthe markup that makes your FAQ machine-legible
Schematic — the Q&A markup and its 2023 rules
Term
FAQ Schema
Markup
FAQPage JSON-LD (Question/Answer)
Since Aug 2023
Rich results limited to gov/health sites
Still feeds
Search understanding, AI surfaces

Forms & parts of speech

FAQ schema · noun
Machine-readable Q&A markup.
"The FAQ schema stopped paying in SERP real estate in 2023 - and started paying in AI answers instead."

Definition in plain terms

FAQ schema is FAQPage structured data — JSON-LD embedded in a page marking its questions and answers so machines can parse them as Q&A pairs (this glossary's own pages carry it; the SCHEMA-MARKUP entry covers the wider family). Its famous payoff was the expandable FAQ rich result in Google's SERPs — and that era largely ended in August 2023, when Google restricted FAQ rich results to authoritative government and health sites. The markup outlived its dropdown: machine-legible Q&A still feeds search understanding and the AI surfaces that now answer questions directly.

The mechanics

The markup itself is simple: an FAQPage entity whose mainEntity lists Question items, each with an acceptedAnswer — emitted as JSON-LD, mirroring visible on-page content exactly (Google's policies require the marked-up Q&A be present to users; invisible-FAQ tricks were the spam that helped earn the 2023 demotion, alongside the dropdowns' sprawl across every commercial SERP). The 2023 change rewrote the ROI math, not the practice: for most sites the rich-result real estate is gone, so FAQ schema's remaining returns are quieter — clean machine extraction of your answers (the structure AI assistants and answer engines parse when deciding what to cite), eligibility wherever Q&A structure feeds other features, and the discipline benefit that writing true 40-60-word answers imposes on content (the answer-shaped writing this site's build spec enforces for exactly that reason). The craft rules survived intact: mark up genuine FAQs only (the FAQ content has to deserve existence — the strip-test logic of every schema type), match visible text, keep answers self-contained (an answer that depends on the page around it extracts as nonsense), and never schema-stuff pages whose 'FAQs' are keyword bait wearing question marks.

When it matters

FAQ schema matters now as answer-engine plumbing rather than SERP decoration — sites whose content gets cited by AI surfaces, and anyone whose pages genuinely answer questions, benefit from machine-legible Q&A. It matters as housekeeping at audit time: pre-2023 implementations chasing dropdowns deserve review (keep the honest markup, retire the bait). The discipline is content-first — real questions users ask, self-contained answers worth extracting, markup mirroring the visible truth — with expectations set to the post-2023 reality: the payoff is being understood, not being decorated.

Worked example. An insurance-comparison site built 4,000 FAQ blocks in 2021 for the dropdown real estate - two questions per page, keyword-stuffed, answers written for the rich result's character limit rather than for humans. August 2023 removes the payoff and the audit reframes the asset: the keyword-bait blocks (which never deserved existence) get cut with the pages' quality improving for it, while genuinely asked questions - mined from search console queries and support logs - get real 50-word self-contained answers, marked up to mirror the visible text. The post-2023 returns arrive from the new directions: the site's answers start appearing, attributed, in AI-assistant responses (the self-contained structure extracts cleanly), and the answer-shaped rewrite lifts the pages' own conversion - visitors find the answer where a dropdown tease used to sit. The markup never changed function; the reason for writing it honestly finally became the only reason left.
Failure modes to watch. Invisible or keyword-bait FAQs wearing question marks; answers that depend on surrounding context and extract as nonsense; markup mismatching visible text against policy; pre-2023 implementations audited never, chasing real estate that no longer exists; and FAQ blocks added to pages whose questions nobody ever asked.

Synonyms & antonyms

Synonyms

FAQ schemaFAQPage markupFAQ structured data

Antonyms

unstructured Q&Aschema stuffing

Origin & history

FAQPage entered schema.org's vocabulary and Google's rich-result lineup in 2019, sprawled across commercial SERPs for four years, and was demoted in August 2023 to government and health authorities — a compressed lesson in feature lifecycles, with the markup's machine-readability outliving its decoration.

Etymology: source.

Usage trends

Search interest for this term over the last five years:

View interest-over-time on Google Trends →

Common questions

What is FAQ schema?
FAQPage structured data — JSON-LD marking up a page's questions and answers as machine-readable Q&A pairs, mirroring the visible content exactly.
What changed for FAQ schema in 2023?
Google restricted FAQ rich results to authoritative government and health sites in August 2023 — ending the dropdown era for most sites while the markup's machine-readability value remained.
Is FAQ schema still worth implementing?
For genuine Q&A content, yes — it feeds search understanding and the AI surfaces that extract and cite answers; the payoff moved from SERP decoration to being machine-legible.

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Resources & people to follow

Curated, non-competitor resources verified per term.

Related training

Disciplines

Areas of marketing where faq schema is a core concern:

Sources

  1. trendsGoogle Trends — "faq schema"